Dynamic Copy Content Retrieval via Application Category Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The miniaturization of computing devices leads to increased time and complexity in copying and pasting information between applications, as users often need to manually select and transfer specific data types, which can be inefficient due to the small form factor and varied data requirements of target applications.
Innovation Solution
A method and system for dynamic copy content retrieval, where a communication channel is established between source and target applications, allowing the target application to automatically determine and retrieve relevant content based on its predefined category, using a copy-and-paste engine and filter to identify and transfer only the necessary data, thereby streamlining the copy-paste process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual copy and paste operations are used between applications, then users can transfer data between applications, but the time and effort required increases due to the need to manually select and transfer specific data types
Solution Approach 1:
The system performs preliminary actions by establishing communication channels between applications in advance and pre-categorizing content types. When a copy operation is initiated, the target application already has its category requirements ready, enabling automatic filtering without manual selection during the actual copy-paste moment.
Solution Approach 2:
The target application automatically determines what content it needs based on its predefined category and retrieves relevant content without user intervention. The system serves itself by autonomously filtering and transferring only the necessary data types between applications.
2Reliability
If all content is copied from source to target application, then complete data transfer is achieved, but unnecessary data is transferred increasing time and processing overhead
Solution Approach 1:
The system extracts only the necessary content from the source application based on the target application's predefined category. The filter identifies and removes unnecessary data, transferring only the relevant subset that matches the target's requirements, thus avoiding the overhead of transferring all content.
Solution Approach 2:
Different content types are treated differently based on the specific needs of the target application. The system applies quality filtering locally by matching content categories with target application requirements, ensuring that each data element is evaluated and transferred only if it meets the specific needs of the destination application.
3Loss of time
If automatic content detection is implemented, then copy-paste time is reduced, but system complexity increases due to communication channels and filtering mechanisms
Solution Approach 1:
The communication channel framework and content filtering mechanism serve multiple applications and multiple content types simultaneously. Rather than implementing separate mechanisms for each application pair, the system creates a universal infrastructure that handles diverse copy-paste operations across different applications through standardized category matching.
Data Source
AI summary
Embodiments of the present invention provide a method and system for a dynamic copy-and-paste operation on a graphical user interface. Initially, a first application having a set of content to copy is identified. An indication to copy a subset of content from the first application to a second application is received. The second application has a predefined category. A communication channel is established between the first and second applications. A portion of content to copy from the first application to the second application is determined. Finally, the copied content is displayed on the second application graphical user interface.